PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management.
Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as
approximately two-thirds of the Fortune 100, PagerDuty is essential for
delivering always-on digital experiences to modern businesses.
Join us. [https://careers.pagerduty.com/] At PagerDuty, you'll tackle complex
problems, collaborate with kind and ambitious people, and help build a more
equitable world—all in a flexible, award-winning workplace.
We are looking for a senior-level machine learning engineer who is passionate
about collaborating with data scientists, product managers and engineers alike.
As part of our team, you will help us accelerate the development of new and
extension of existing products powered by AI and Machine Learning. We expect you
to lead the design and deployment of solutions to host our AI agents, models and
services in production, in alignment with our design patterns and best practices
to support the business. This is a very senior position that requires strong
skills in communication, cross team collaboration and technical leadership
ability.
You will be working on high-impact / high-visibility projects and have the
opportunity to apply your knowledge to help shape how we enable our various
products to leverage the latest machine learning and generative AI capabilities.
You’ll succeed by being an effective team player, independently managing time,
and demonstrating emotional intelligence as you navigate stakeholder
relationships championing and scoping our cross-team initiatives.
HOW YOU CONTRIBUTE TO OUR VISION: KEY RESPONSIBILITIES
- Build and improve the capabilities that enable and accelerate our machine
learning (ML), generative and agentic AI based products
- Partner with applied scientists and product teams, effectively sharing
engineering context and working together to support larger initiatives
- Provide guidance, technical leadership, and mentoring to junior members of
the team
- Understand how our products are used and proactively lead the delivery of
improvements and enhancements based on customer feedback
- Remain current on the latest ML engineering developments, incorporating new
solutions to our existing workflow, continuously improving user experience
BASIC QUALIFICATIONS
- 7+ years of experience building, designing, and shipping machine learning
solutions to production
- Experience working with Product teams, ensuring and driving a timely delivery
- Proven software development track record with Python (knowledge of Elixir is
a bonus)
- Demonstrated experience with data modeling, database design, extract
transform load (ETL) processes, working with unstructured data, and
cloud-based data infrastructure
- Experience with workflow management tools such as Apache Airflow and AI/ML
observability/evaluations products such as Arize, Datadog, etc
- Familiarity with ML processes (exploration, training, deployment),
technologies (services, packages), infrastructure (AWS), ML techniques (e.g.,
natural language processing, deep learning, generative AI)
- Experience with with pre-trained Large Language Models (LLMs) and AI agents
in a production environment
- Passionate about data/ML engineering and displaying effective communication
when conveying technical concepts and collaborating with across teams
PREFERRED QUALIFICATIONS
- Familiarity with container orchestration systems (e.g., Kubernetes)
- Ability to think through a complex problem, build a solution, and execute
that solution with effective change management skills
- Strong sense of ownership and accountability. Ability to design large scale
solutions and effectively drive the implementation work across teams and
products to solve big customer challenges
- History of presenting technical work at industry conferences, workshops, or
meetups, with a demonstrated enthusiasm for sharing knowledge and engaging
with the broader MLE community
- Experience leveraging AI tools and techniques to enhance development
workflows, automate routine tasks, and improve overall engineering
productivity
The base salary range for this position is 137,000 - 207,000 CAD. This role may
also be eligible for bonus, commission, equity, and/or benefits.
Our base salary ranges are determined by role, level, and location. The range,
which is subject to change based on primary work location, reflects the minimum
and maximum base salary we expect to pay newly hired employees for the position.
Within the range, we determine pay for an individual based on a number of
factors including market location, job-related knowledge, skills/competencies
and experience.
Your recruiter can share more about the specific offerings for this role, as
well as the salary range for your primary work location during the hiring
process.
Hesitant to apply?
We encourage you to submit your resume even if you don't meet every requirement.
We value potential and consider each candidate's full professional story.
Whether you're exploring a career change or taking your next step, we look
forward to reviewing your application. If this just isn’t the right role or time
Where we work
PagerDuty operates a hybrid work model with offices
[https://careers.pagerduty.com/locations] in 8 major cities: Atlanta, Lisbon,
London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer
flexibility within our established locations, we cannot employ candidates
residing in:
Location restrictions:
Australia: Northern Territory, Queensland, South Australia, Tasmania, Western
Australia
Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI,
Quebec, Saskatchewan, Yukon
United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New
Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming
Candidates must reside in an eligible location, which vary by role.
How we work
Our values [https://careers.pagerduty.com/#values] guide how we support
customers, collaborate with colleagues, develop products, and foster a culture
of belonging. They define not just our actions, but what it means to be
Dutonian.
People Leaders at PagerDuty are responsible for creating high performance
environments that drive accountability. PagerDuty has four key dimensions that
define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and
Lead the Future. Each dimension has three associated competencies to give
leaders a shared language for guiding their development, career, promotion, and
succession planning discussions. Our Manager Expectations serve as a practical
guide for managers to understand their responsibilities, prioritize their
efforts, and drive engagement and performance.
What we offer
As a global organization, our total rewards approach is competitive with
industry standards and aligned with local laws and regulations. Learn more,
including country-specific offerings, on our benefits site
[https://careers.pagerduty.com/global-benefits].
Your package may include:
- Competitive salary
- Comprehensive benefits package
- Flexible work arrangements
- Company equity*
- ESPP (Employee Stock Purchase Program)*
- Retirement or pension plan*
- Generous paid vacation time
- Paid holidays and sick leave
- Dutonian Wellness Days & HibernationDuty - companywide paid days off in
addition to PTO
- Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant
parent (some countries have longer leave standards and we comply with local
laws)*
- Paid volunteer time off: 20 hours per year
- Company-wide hack weeks
- Mental wellness programs
*Eligibility may vary by role, region, and tenure
About PagerDuty
PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management.
The PagerDuty Operations Cloud is an AI-powered platform that empowers business
resilience and drives operational efficiency for enterprises. With a generative
AI assistant at its core, PagerDuty empowers teams to detect and resolve issues
in real time, orchestrate complex workflows, and drive continuous improvement
across their digital operations. Trusted by nearly half of both the Fortune 500
and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100,
PagerDuty is essential for delivering always-on digital experiences to modern
businesses
PagerDuty is Great Place to Work-certified™, a Fortune Best Workplace for
Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in
Technology, and a top rated product on TrustRadius and G2.
Go behind-the-scenes on our careers site [https://careers.pagerduty.com/home]
and @pagerduty on Instagram.
Additional Information
PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on
the basis of race, religion, color, national origin, gender, sexual orientation,
age, marital status, parental status, veteran status, or disability status. Your
privacy is important to us. By submitting an application, you confirm that you
have read and understand PagerDuty's Privacy Policy
[https://www.pagerduty.com/privacy-policy/].
PagerDuty is committed to providing reasonable accommodations for qualified
individuals with disabilities in our job application process. Should you require
accommodation, please email accommodation@pagerduty.com and we will work with
you to meet your accessibility needs.
PagerDuty uses the E-Verify employment verification program.
